De-risk enterprise
ai adoption
ArcticBlue AI helps leadership teams make better bets.
We help leaders decisively answer
“Can it be done?” and “Will they use it?”
Trusted By:
90% of AI initiatives fail to deliver on their promise
Innovation theater
over measurable outcomes
Focused on low impact problems
Doesn’t meet actual customer needs
We’ve run 20,000+ experiments for fortune 500 companies to validate solutions for accelerating growth and innovation
WHAT WE DO: ADVISE + BUILD
ADVISE
We advise leadership teams on how to use experimentation to push the boundaries of where AI can be applied to drive maximum impact.
+
BUILD
We build functional prototypes, and run experiments with customers and internal stakeholders, leveraging Gen AI at every part of the journey.
WHERE WE FOCUS: TRANSFORM + CREATE
TRANSFORM
Use AI to transform existing process and operations to increase productivity, or drive greater efficiency.
+
CREATE
Create new products, services, and experiences to capture new growth opportunities, or improve customer engagement and satisfaction.
We partner with senior leaders to identify and prioritize the business problems where AI can create the most impact.
We benchmark how teams solve problems today, then run experiments, combining Generative AI with existing technologies, human intelligence, and customer feedback, until we arrive at a functional solution that exceeds those benchmarks.
AI is only part of the solution
While Generative AI is good at solving tasks, solving business problems requires an end-to-end solution. We focus on validating whether the complete solution (AI + Technology + People + Processes) can solve a business problem.
an experiment-driven approach
We take an experiment-driven approach, where we BUILD AI prototypes, TEST those prototypes with real customers and stakeholders, and continuously ITERATE based on our learnings.
ai case studies
Designed a Resolution Prediction Generator for a US healthcare company that helps customer care agents resolve patient inquiries 45% faster.
Embedded an investment decision-making tool at a Fortune 500 corporate VC team, by incorporating 100 times more data points into their decision models.